code: def test_roi_embed_head_predict(self):
      cfg = mmengine.Config(
          dict(
              num_convs=2,
              num_fcs=2,
              roi_feat_size=7,
              in_channels=16,
              fc_out_channels=32,
          )
      )
  
      embed_head = RoIEmbedHead(**cfg)
  
      x = torch.rand(1, 16, 7, 7)
      ref_x = torch.rand(1, 16, 7, 7)
      similarity_logits = embed_head.predict(x, ref_x)
  
      assert isinstance(similarity_logits, list)
      assert len(similarity_logits) == 1
  
file_path: mmdetection/tests/test_models/test_tracking_heads/test_roi_embed_head.py
imports: from unittest import TestCase
  import mmengine
  import torch
  from mmengine.structures import InstanceData
  from mmdet.models.tracking_heads import RoIEmbedHead
  from mmdet.registry import TASK_UTILS
label_desc: Use image node_id 2 for calling the TestRoIEmbedHead obj's underlying member method code with example usage: obj.test_roi_embed_head_predict() without return types